A scheduling system for the steelmaking-continuous casting process. A case study from the steel-making industry

Missbauer, Hubert; Hauber, Wolfgang; Stadler, Werner

doi:10.1080/00207540801950136

Cited by 82 publications

(37 citation statements)

References 15 publications

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“…This rationale is also related to the best fit of a bottom-up approach (typical in incremental approaches) as compared to a top-down approach (typical for big-bang approaches). Therefore, even if the final goal would be to capture with maximum detail the complexity of the physical shop floor, a more simple model would suffice for launching the scheduling tool, and for making the first results of its adoption visible, which in turn would serve to ease the subsequent deployment steps (Missbauer et al, 2009). Note that some authors state that simply a visual representation of the Gantt schedules is sometimes regarded as a big advance with respect to the previous situation (see e.g.…”

Section: General Hintsmentioning

confidence: 99%

“…Given the complex nature of the scheduling business function, it is unavoidable that the logic of the scheduling system is not understood by many users, and regarded as a black box (Laforge and Craighead, 2000). On the other hand, IT specialists cannot fully grasp the dynamics of the company, so they need the input from these users, a factor which is believed to be a key for a successful deployment (Missbauer et al, 2009). Indeed, it is cited that any technological support for the scheduling function will be successful if due consideration is given to organisational design (Vernon, 2001).…”

Section: Avoid Technology-dominant Approachesmentioning

confidence: 99%

“…Furthermore, providing the ERP with all this data could prove challenging (see Wiers, 2002), as the integration of the ERP with the scheduling system could be extremely costly (in Missbauer et al, 2009 it is described a case in which around 15,000 lines of code were required to support this integration). Probably, only the estimated finishing date for each product is needed.…”

Section: Keeping Interfaces Simplementioning

confidence: 99%

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Guidelines for the deployment and implementation of manufacturing scheduling systems

Framiñán

Ruíz

2012

International Journal of Production Research

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It has been frequently stated that there exists a gap between production scheduling theory and practice. In order to put the theoretical findings into practice, the advances in scheduling models and solution procedures should be embedded into a piece of software -a scheduling system-at work in the companies. This results in a process which entails 1) determining its functional features, and 2) adopting a successful strategy for its development and deployment. In this paper we address the latter question and review the related literature in order to identify descriptions and recommendations of the main aspects to be taken into account when developing such system. These issues are then discussed and classified, resulting in a set of guidelines that can help practitioners during the process of developing and deploying a scheduling system. In addition, the identification of these issues can provide some insights to drive the theoretical scheduling research towards those topics more demanded by practitioners, thus helping in closing the aforementioned gap.

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Section: General Hintsmentioning

confidence: 99%

Section: Avoid Technology-dominant Approachesmentioning

confidence: 99%

Section: Keeping Interfaces Simplementioning

confidence: 99%

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Guidelines for the deployment and implementation of manufacturing scheduling systems

Framiñán

Ruíz

2012

International Journal of Production Research

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“…However, it is still not very satisfactory when solving the large-scale SCC problems in actual iron & steel companies. The most commonly used methods for solving the SCC scheduling problems are and mixed-integer linear optimization (MILP) [3][4][5], artificial intelligence, linear optimization (LP), heuristics [6,7] and simulation methods. The literatures [8][9][10] illustrate the detailed reviews on these methods.…”

Section: Introductionmentioning

confidence: 99%

Simulating Schedule Optimization Problem in Steelmaking Continuous Casting Process

Yang¹,

Qiu²,

Luo³

et al. 2015

Int. j. simul. model.

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This paper establishes the models of the steelmaking continuous casting (SCC) process, and proposed the improved algorithms for this problem. The simulation results of a computerized scheduling system are also given to prove the model. The SCC process scheduling problem is very difficult to get a good performance solution in practice. The scheduling of the SCC process requires that each cast plan is processed on time, and the charges should be processed continuously for the same caster in the same cast, as well as the waiting time of the charges cannot be conflicted mutually in the same converters. We propose a quantum-behaved particle swarm optimization (QPSO) and improved algorithm strategy. The results show that the QPSO is very efficient for solving the SCC production scheduling problem, especially for large scale problem.

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“…2) An algorithm for rescheduling the affected operations in a job shop is presented in order to preserve as much as possible the robustness of the initial schedule, which is different from the right-shift rescheduling and complete rescheduling. 3) However, the research on scheduling method for SMCC production process focuses on static scheduling problem, [4][5][6] and rescheduling methods are rarely addressed. The development of a knowledge model including task, inference and domain, which describes the reasoning process in managing schedule disturbance in steel-making, is presented.…”

Section: Introductionmentioning

confidence: 99%

A Prediction Method for Abnormal Condition of Scheduling Plan with Operation Time Delay in Steelmaking and Continuous Casting Production Process

Yu¹

2013

ISIJ Int.

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In the steelmaking and continuous casting (SMCC) production process, the operation time delay often occurs which may lead to planned casting break or processing conflict so that the initial scheduling plan becomes unrealizable. Existing rescheduling methods with disturbances firstly classify the disturbances according to the disturbance type and disturbance quantity only by artificial experience or rules, and then directly adjust initial scheduling plan with corresponding rescheduling method. Those methods don't analyze the influence degree of disturbances to the initial scheduling plan in detail, so the adjustment degree of initial scheduling plan is always too greater, which leads to the poor continuity and stability of initial scheduling plan. In this paper, the relation among operation time delay, planned casting break and processing conflict is deeply analyzed. Then a novel prediction method for abnormal condition of scheduling plan with operation time delay disturbance in SMCC production process is proposed including disturbance identification of operating time delay based on event-driven mechanism, analysis on charges based on reachability matrix, analysis on influence degree of disturbance and abnormal condition decision of initial scheduling plan. As a result, the real-time application shows that the proposed prediction method can timely and accurately predict the abnormal condition of the scheduling plan with operation time delay disturbance in SMCC production process, which can only adjust the affected charges that must to be rescheduled in the initial scheduling plan and reduce the frequency of complete rescheduling. The initial scheduling plan can also maintain the good continuity and stability.

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A scheduling system for the steelmaking-continuous casting process. A case study from the steel-making industry

Cited by 82 publications

References 15 publications

Guidelines for the deployment and implementation of manufacturing scheduling systems

Guidelines for the deployment and implementation of manufacturing scheduling systems

Simulating Schedule Optimization Problem in Steelmaking Continuous Casting Process

A Prediction Method for Abnormal Condition of Scheduling Plan with Operation Time Delay in Steelmaking and Continuous Casting Production Process

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